Wk2:Chap2 - Data Governance & IT Architecture Support Long-Term Performance Flashcards

1
Q

Data governance?

A

The control of enterprise data through formal policies and procedures

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2
Q

Enterprise architecture?

A

Guide for information systems, digital technology and business processes

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3
Q

High quality data?

A

Trusted and accessible on demand

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4
Q

What is Information Management?

A
  • use of IT tools and methods to collect, process, consolidate, store and secure data from sources that are often fragmented and inconsistent.
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5
Q

Key Performance Indicators (KPIs)

A

Present data in easy-to-comprehend and comparison-ready formats.

These measures demonstrate the effectiveness of a business process at achieving organisational goals.

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6
Q

Data silos?

A

Stand alone data stores not accessible by other info systems that need data.

  • sourcing silos : parts replenish, procuring
  • operations silos: design, build, ship
  • customer-facing silos: sales, fulfilment, billing, support
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7
Q

Enterprise Architecture and Data Governance?

A

Enterprise architecture (EA) Core set of information systems and business processes that execute the transactions that keep the business performing.

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8
Q

Enterprise Architecture is measured (for example) as:

A
  • ROI
  • Customer Satisfaction
  • Low employee turnover
  • Speed to market
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9
Q

Enterprise Architecture comments (4)

A
  1. Business architecture
  2. Application Architecture
  3. Data architecture
  4. Technical architecture
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10
Q

Industries dependant in governance (3)

A
  • food industry
  • financial services industry
  • healthcare industry
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11
Q

Master Data & Management (MDM)

A

Creates high-quality trustworthy data.

Strong data governance is needed to manage the availability, usage, integrity and security of the data throughout the enterprise.

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12
Q

Information systems: the basics (3)

A
  1. Data: describes products, customers, events, activities and transactions that are recorded, classified and stored.
  2. Information: is processes, organised, or put into context data with meaning and value to the recipient.
  3. Knowledge: is conveyed information as applied to a current problem or activity.
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13
Q

Input-processing-output Model

A

Input> processing> output> communication

Output > storage

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14
Q

Transaction Processing systems (TPS)

A
  • International transactions: originate or occurs within the organisation
  • External transactions: originate outside the organisation
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15
Q

Batch processing ?

A

Collects all transactions for a time period, then processes the data and updates the data store

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16
Q

Online Real-time Processing (OLTP)

A

Processes each transaction as it occurs (real-time)

17
Q

Difference between batch and online real-time processing

A

Batch processing costs less than OLTP but may be inaccurate from update delays

18
Q

Management Information Systems (MIS)

A

General purpose reporting systems that provide reports to managers for tracking operations, monitoring and control
- reports created or run according to a pre-set “schedule”
- “exemption”: generated only when something is outside designated parameters
“On Demand”: unplanned, generates as needed

19
Q

Decision support Systems (DSS(

A

Interactive applications that support decision making.
Support unstructured and semi-structured decisions with the following characteristics:
1. Easy to us interactive interface
2. Models or formulas that enable sensitivity analysis
3. Data from multiple sources

20
Q

IT infrastructure (3)

A
  1. Data centres
  2. Cloud computing
  3. Virtualisation
21
Q

Data Centers

A

Large number of network servers used for the storage, processing, management, distributions and archiving of data, systems, web traffic, services and enterprise applications

22
Q

Unified data center

A

Cisco’s single solution integrating computing, storage, networking, virtualisation, and management into a single (unified) platform.

Gives greater IT flexibility and cutting costs

23
Q

What is the cloud

A

Term for infrastructure that uses the internet and private network to access, share, and deliver computing resources.

24
Q

Types of clouds (2)

A
  1. Private cloud: single-tenant environments with stronger security and control for regulated industries and critical data.
  2. Public Cloud: multiple-tenant virtualised services utilising the same pool of servers across a public network
25
Q

Cloud infrastructure

A

Provided on demand for storage virtualisation, network virtualisation and hardware virtualisation

26
Q

Virtualisation

A

Created by a sorftware later containing its own operating system and application as a physical computer

27
Q

Software as a service (SaaS)

A

End user apps, like sales force

28
Q

Platform as a service (Paas)

A

Tools and services making coding and development faster and more efficient

29
Q

Infrastructure as a service (IaaS)

A

Hardware and software that power computing resources

30
Q

Data as a Service (DaaS)

A

Data shred among clouds, Systems, apps regardless the data source or storage location